When the Model Is Confident and Wrong: A Practitioner Guide to LLM Output Reliability

Hallucination is the wrong word for what I keep running into. It implies the model is confused or malfunctioning. The more accurate description is confident incorrectness: the model produces plausible-sounding output, in well-formed prose, citing nothing, with no hedging, and the claim is simply false. I have been building and operating an AI system that … continue reading The post When the Model Is Confident and Wrong: A Practitioner Guide to LLM Output Reliability appeared first on SD Times .